DocumentCode :
484627
Title :
MERIS Chl-a Timeseries of Lake Constance 2003-2006
Author :
Odermatt, Daniel ; Heege, Thomas ; Nieke, Jens ; Kneubühler, Mathias ; Itten, Klaus
Author_Institution :
Remote Sensing Labs. (RSL), Zurich
Volume :
4
fYear :
2008
fDate :
7-11 July 2008
Abstract :
A physically based water constituent retrieval algorithm is used for the automatic processing of MERIS level 1B full resolution data. The algorithm requires several input variables for individual optimization with different sensors (i. e. channel calibration and weighting), aquatic regions (i. e. specific inherent optical properties) or atmospheric conditions (i. e. Aerosol models). The optical properties are derived from optical in situ measurements during concurrent MERIS data acquisition on 20 April 2007. Remaining parameters are iteratively optimized for best performance with 21 MERIS datasets of Lake Constance in the years 2003-2005, and validated with 11 datasets in 2006. Operational water quality sampling measurements acquired by local authorities serve as reference.
Keywords :
data acquisition; lakes; remote sensing; water quality; AD 2003 to 2006; AD 2007 04 20; Germany; Lake Constance; MERIS resolution data; MEdium Resolution Imaging Spectrometer; chl-a timeseries; data acquisition; operational water quality sampling measurements; optical in situ measurements; water constituent retrieval algorithm; Aerosols; Atmospheric measurements; Atmospheric modeling; Calibration; Data acquisition; Information retrieval; Input variables; Lakes; Optical sensors; Water; Inland water; chlorophyll; monitoring; operationalization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779855
Filename :
4779855
Link To Document :
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